Machine Learning Engineer at Numerify

Skill: python , scala , solution delivery , machine learning , artificial intelligence , java; Exp: 0-3 years; Machine Learning Engineer at Numerify Bangalore, IN About the Team Advanced Analytics – ML team focuses on providing deeper insights into Numerifys offering across the IT plan-build-run landscape by building packaged Machine Learning solution. The Advanced Analytics-ML team consists of experts in data science, statistics, ML programming and applied analytics. It works closely with customer service and solution delivery team to ensure ML solutions are well designed to cater to a large set of customers and offer high business value. They are expected to keep themselves up to date with emerging trends and technologies in Artificial Intelligence and Machine Learning and apply them to create solutions that act as differentiator in Numerifys product offerings. Role Machine Learning Engineers would be responsible for developing and packaging all phases of ML solutions right from data preparation, model training, scoring and insights visualization on Numerifys own analytics modeler platform. In addition to advanced analytic skills, this role would require proficiency at integrating and preparing large datasets, distributed in-memory analytics and communicating results with rich visualizations. Skill-set Required B.Tech / BE – Computer Science or MS in any quantitative field from a reputed university Hands-on experience in machine learning programming R, Java, Python, Scala Excellent knowledge of machine learning/data science concepts as well as practical application to industry problems. Ability to adapt to scrum & agile methodology, comfortable with development tools like Jira/Confluence. Experience with Spark Mlib, Python Deep-learning libraries, Dask etc would be a plus. Knowledge of NLP/Text mining techniques and related open source tools. Familiarity with data visualization libraries d3, Plotly, Highcharts, etc Knowledge of cloud architecture, distributed computing, object-oriented programming will be a plus